Gene methylation co-regulation network analysis of all-cause mortaltiy in ageing individuals

Jesper Lund, Jan Baumbach, Qihua Tan

Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskningpeer review


Mortality is a hot topic within genetics and epidemiology and is especially a focus in older population studies. While remaining blurry, today's technologies enable us to explore much of these uncharted lands of mortality in greater detail and find causes of mortality through means of epigenetics e.g. histone modifications or methylation-based data. In this study, we explore methylation data and aims to find mortality associated gene-clusters to help shed light on mortality in the older populations. Based on large-scale mortality data on the Lothian birth cohorts of older people (LBC1921, LBC1936, N=1,425), we summarized DNA methylation levels at the promoter regions (TSS200, 1stExon, TSS1500) collected using Illumina 450K bead chip arrays. We then perform weighted-gene methylation correlation network analysis, in order to elucidate gene-clusters with significant mortality association, utilizing Cox proportional hazards models and the clusterProfiler R-package. By analysis of gene promoter methylation levels, 27 gene-modules were discovered whereof 19 significant gene-modules (p < 0.05, p = 0.00014 to 0.044) were identified through means of their eigengene (first principal component) with respect to mortality. The overall module significance found using Kruskal Wallis Test reported a P-value of 3.5E-282. Using the top genes ranked by Cox models, with criterion p < 0.05 (N=3,535), we filtered modules based on intramodular connectivity
Publikationsdato16. okt. 2018
StatusUdgivet - 16. okt. 2018
BegivenhedAmerican Society of Human Genetics 2018 - San Diego Convention Center in San Diego, California, San Diego, USA
Varighed: 16. okt. 201820. okt. 2018
Konferencens nummer: 2018


KonferenceAmerican Society of Human Genetics 2018
LokationSan Diego Convention Center in San Diego, California
BySan Diego


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